Manor for Control of the Car Park Using Fuzzy Logic

Volume 5, Issue 3, pp 167 - 175 http://dx.doi.org/10.22436/jmcs.05.03.04

Download PDF

Download XML

• Export citations
  • CITATIONS & REFERENCES
  • EndNote (.ENW)
  • Mendeley, JabRef (.BIB)
  • Papers, Zotero, Reference Manager, RefWorks (.RIS)
  • ARTICLE CITATION
  • EndNote (.ENW)
  • Mendeley, JabRef (.BIB)
  • Papers, Zotero, Reference Manager, RefWorks (.RIS)
  • REFERENCES
  • EndNote (.ENW)
  • Mendeley, JabRef (.BIB)
  • Papers, Zotero, Reference Manager, RefWorks (.RIS)

• 2971 Downloads
• 4407 Views

Authors

Jamal Ghobadi Dizaj Yekan - Khorasan Institute of Higher Education, Mashhad, Iran. Amin Adineh Ahari - Khorasan Institute of Higher Education, Mashhad, Iran. Seyed Kamaleddin Mousavi Mashhadi - University of Science and Technology, Faculty of Electric Engineering, Tehran, Iran.

Abstract

In this article we have tried to control your car and park it was good. the car park there are different methods such as using fuzzy controller, genetic algorithm, neural networks, image processing, sensors and .... use In this paper, fuzzy control method is used. Park for three types of controllers is proposed in this paper. for park in the rear and park in front of the fuzzy controller if the primary controller having a first car or the car park for the start of the second controller in the output. the second controller uses the vehicle away from the table and change the angle of rotation angle of the car makes the car move. park is also only a single controller for the vertical input, single output is used to move the vehicle entrance and exit angle of the vehicle steering angle is changed. this has the advantage over other papers that extra controller to start the car park used in most papers on this subject has been addressed.

Share and Cite

Keywords

• Estimated
• The rules
• Fuzzy controller
• Parallel Park The membership

MSC

•  68T99
•  03B52

References

• [1] R. M. De Santis, R. Hurteau, O. Alboui, B. Lesot, Experimental Stabilization of Tractor and Tractor-Trailer like Vehicles, Proc. of the 2002 IEEE Int. Sym. on Intelligent Ctrl., (2002), 188-193


• [2] W. Young, R. G. Thompson, M. A. P. Taylor, A review of urban parking models, Transport Reviews , 11 (1991), 6384


• [3] R. Arnott, J. Rowse , Modeling parking, Journal of Urban Economic, (1999),


• [4] C. Ahrikencheikh, A. Seireg, Optimized-Motion Planning, John Wiley & Sons, (1994),


• [5] T.-H. S. Li, S. J. Chang, Autonomous Fuzzy Parking Control of a Car-like Mobile Robot, IEEE Trans. Sys. Man & Cyb. Part A, v 33, n 4, p 451-465, 45 (2003), 97–124.


• [6] I. E. Paromtchik, C. Laugire, Motion generation and control for parking an autonomous vehicle, in: Proc. of ’96 IEEE Conf. on Robotics and Automation, Minneapolis, MN, 4 (1996), 3117–3122.


• [7] D. Teodorovic, P. Lucic , Intelligent parking systems, European Journal of Operational Research , 175 (2006), 1666-1681.


• [8] S. C. Wong, C. O. Tong, W. C. H. Lam, R. Y. C. Fung, Development of parking demand models in Hong Kong, Journal of Urban Planning and development—ASCE , 126 (2000), 55–74


• [9] J. Polak, K. W. Axhausen, Parking search behavior: A review of current research and future prospects, Transport Studies Units, Working, Oxford University, (1990), 540


• [10] B. J. Waterson, N. B. Hounsell, K. Chatterjee , Quantifying the potential savings in travel time resulting from parking guidance systems—a simulation case study , Journal of the Operational Research Society , 10 (2001), 1067–1077


• [11] L. X. Wang, J. M. Mendel, Generating fuzzy rules by learning from examples, IEEE Transactions on Systems, Man and Cybernetics, 22 (1992), 1414–1427


• [12] R. M. Murray, S. S. Sastry, Nonholonomic motion planning: Steering using sinusoids, IEEE Trans. Automat. Control , 4 (1993), 700–716.


• [13] S. Achiche, L. Baron, M. Balazinski, Real/Binary-Like Coded Versus Binary Coded Genetic Algorithms to Automaticall Generate Fuzzy Knowledge Bases: A comparative study, Engineering Applications of Artificial Intelligence, 17 (2004), 313-325


• [14] W. A. Daxwanger, G. K. Schmidt, Skill-based visual parking control using neural and fuzzy networks, in Proc. IEEE Int. Conf. System, Man, Cybernetics, 2 (1995), 1659–1664.


• [15] D. Gorinevsky, A. Kapitanovsky, A. Goldenberg, Neural network architecture for trajectory generation and control of automated car parking, IEEE Transactions on Control Systems Technology, 4 (1996), 50-56.


• [16] R. J. Oentaryo, M. Pasquier, Self-Trained Automated Parking System, in 2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV) (2004)


• [17] A. KHOUKHI, L. BARON, M. BALAZINSKI, Fuzzy Parking Manoeuvres of Wheeled Mobile Robots , 1-4244-1214-5/07/$25.00 ©2007 IEE., ()


• [18] Chen-Kui Lee, Chun-Liang Lin, Bing-Min Shiu , Autonomous Vehicle Parking Using Artificial Intelligent Approach, 978-1-4244-2713-0/09/,25.00 ©2009 IEEE. , ()


• [19] Benjamas Panomruttanarug, Sarayut Tungporntawee, Parnupong Thongsuk, Kohji Higuchi , An Emulation of Autonomous Parallel Parking System Using Fuzzy Logic Control , PR0002/09/0000-4548 ¥400 © 2009 SICE. , ()


• [20] Zhi-Long Wang, Chih-Hsiung Yang, Tong-Yi Guo , The Design of An Autonomous Parallel Parking Neuro-Fuzzy Controller for A Car-like Mobile Robot , PR0001/10/0000-2593 ¥400 © 2010 SICE., ()